Evidence map›Paper›PMID 27406987›Full record

ArticleCirculation. Cardiovascular interventions2016

Diagnosis of Thin-Capped Fibroatheromas in Intravascular Optical Coherence Tomography Images: Effects of Light Scattering.

Jennifer E Phipps, Taylor Hoyt, Deborah Vela, Tianyi Wang, Joel E Michalek, L Maximilian Buja, Ik-Kyung Jang, Thomas E Milner, Marc D Feldman

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Cardiovascular interventions, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 45 citations in OpenAlex.

  1. Coronary Slow Flow and No-Reflow During Percutaneous Coronary Intervention: Contemporary Insights Into Imaging-Guided Prediction, Prevention, and Management.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026
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  9. Intracoronary optical coherence tomography: state of the art and future directions.EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Jennifer E PhippsFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Taylor HoytFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Deborah VelaFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Tianyi WangFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Joel E MichalekFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
L Maximilian BujaFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Ik-Kyung JangFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Thomas E MilnerFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.).
Marc D FeldmanFrom the Department of Medicine (J.E.P., T.H., M.D.F.) and Epidemiology and Biostatistics (J.E.M.), University of Texas Health Science Center San Antonio; Department of Cardiovascular Pathology, Texas Heart Institute, Houston (D.V., L.M.B.); Department of Biomedical Engineering, University of Texas at Austin (T.W., T.E.M.); Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston (I.-K.J.); and Department of Veterans Affairs, South Texas Veterans Health Care System, San Antonio (M.D.F.). feldmanm@uthscsa.edu.
The University of Texas at Austin · USHarvard University · USHouston Methodist · US

Funding

PATHOBIOLOGY OF OCCLUSIVE VASCULAR DISEASET32HL007446 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Jean Chrisostome Bopassa · 1985 to 2026
$8.9M
Detection of plaque based macrophages with lightI01BX000397 · VA · SOUTH TEXAS VETERANS HEALTH CARE SYSTEM · PI FELDMAN, MARC DAVID · 2011 to 2013
–
BLRD VA I01 BX000397NHLBI NIH HHS T32 HL007446
6 · The paper itself

Abstract

backgroundIntravascular optical coherence tomography (IVOCT) images are recorded by detecting light backscattered within coronary arteries. We hypothesize that non-thin-capped fibroatheroma (TCFA) causes may scatter light to create the false appearance of IVOCT TCFA. METHODS AND

resultsTen human cadaver hearts were imaged with IVOCT (n=14 coronary arteries). IVOCT and histological TCFA images were coregistered and compared. Of 21 IVOCT TCFAs (fibrous cap <65 μm, lipid arc >1 quadrant), only 8 were true histological TCFA. Foam cell infiltration was responsible for 70% of false IVOCT TCFA and caused both thick-capped fibroatheromas to appear as TCFA, and the appearance of TCFAs when no lipid core was present. Other false IVOCT TCFA causes included smooth muscle cell-rich fibrous tissue (12%) and loose connective tissue (9%). If the lipid arc >1 quadrant (obtuse) criterion was disregarded, 45 IVOCT TCFAs were identified, and sensitivity of IVOCT TCFA detection increased from 63% to 87%, and specificity remained high at 92%.

conclusionsWe demonstrate that IVOCT can exhibit 87% (95% CI, 75%-93%) sensitivity and 92% specificity (95% CI, 86%-96%) to detect all lipid arcs (both obtuse and acute, <1 quadrant) TCFA, and we also propose new mechanisms involving light scattering that explain why other plaque components can masquerade as TCFA and cause low positive predictive value of IVOCT for TCFA detection (47% for obtuse lipid arcs). Disregarding the lipid arc >1 quadrant requirement enhances the ability of IVOCT to detect TCFA.

Indexed as

Plaque, AtheroscleroticTomography, Optical CoherenceAgedBiopsyCadaverCoronary VesselsFemaleFibrosisHumansLightMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsScattering, Radiationatherosclerosislipidsmyocytes, smooth muscleplaque, amyloidtomography, optical coherence

Identifiers

PMID27406987
PMCPMC4946571
OpenAlexW2470049786

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.